Best Open-Source AI Agent Frameworks in Python 2026: 10 Compared with Stars
Choosing a Python agent framework in 2026? These 10 open-source options with real star counts make it easier.
## Best Open-Source AI Agent Frameworks in Python 2026
All star counts below come from the ainomam GitHub star tracker snapshot dated 2026-07-31.
### The rankings
1. **LangGraph** - 38,573 stars (part of LangChain 143,097). Stateful, graph-based agent orchestration. The 2026 default for production.
2. **AutoGen** - 60,129 stars. Microsoft multi-agent conversation framework; now with AutoGen Studio for visual building.
3. **CrewAI** - 56,432 stars. Role-based crews; the friendliest onboarding in the ecosystem.
4. **LlamaIndex** - 51,260 stars. Agents deeply integrated with RAG pipelines and 40+ data connectors.
5. **Phidata** - 41,526 stars. Agent platform with built-in UI, monitoring, and tool integrations.
6. **Haystack** - 26,073 stars. Production-oriented agent orchestration with strong evaluation tooling.
7. **Semantic Kernel** - 28,396 stars. Microsoft cross-language framework (C#/Python).
8. **TaskWeaver** - 6,176 stars. Code-first agent framework; good for data workflows.
9. **Eliza** - 18,856 stars. Agent framework with a focus on social and autonomous agents.
10. **AgentVerse** - 5,091 stars. Research-focused multi-agent simulation framework.
### How to choose
- **Production SaaS**: LangGraph
- **Quick prototype**: CrewAI
- **RAG-heavy apps**: LlamaIndex
- **Multi-agent research**: AutoGen or AgentVerse
- **Enterprise, polyglot teams**: Semantic Kernel
### Minimum viable agent in CrewAI
[python]
from crewai import Agent, Task, Crew
researcher = Agent(role="Researcher", goal="Find facts", backstory="A careful analyst")
task = Task(description="Summarize MCP adoption in 2026", agent=researcher)
crew = Crew(agents=[researcher], tasks=[task])
print(crew.kickoff())
[/python]
### FAQ
**Which framework has the most stars?** AutoGen (60,129), followed by CrewAI (56,432).
**Can I combine frameworks?** Yes, many teams use LlamaIndex for retrieval inside a LangGraph orchestration layer.
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